From smart devices to smarter systems: The evolution of artificial intelligence of things (AIoT) with characteristics, architecture, use cases and challenges

V Parihar, A Malik, Bhawna, B Bhushan… - AI models for blockchain …, 2023 - Springer
An opportunity to continuously collect data about all aspects of a business's operations is
provided by the Internet of Things (IoT). Companies globally are quickly leveraging IoT to …

Edge AI: A Taxonomy, Systematic Review and Future Directions

SS Gill, M Golec, J Hu, M Xu, J Du, H Wu… - arXiv preprint arXiv …, 2024 - arxiv.org
Edge Artificial Intelligence (AI) incorporates a network of interconnected systems and
devices that receive, cache, process, and analyse data in close communication with the …

An imbalance data quality monitoring based on SMOTE-XGBOOST supported by edge computing

Y Han, Z Wei, G Huang - Scientific Reports, 2024 - nature.com
Product assembly involves extensive production data that is characterized by high
dimensionality, multiple samples, and data imbalance. The article proposes an edge …

Energy-Efficient Power Control for Multiple-Task Split Inference in UAVs: A Tiny Learning-Based Approach

C Zhao, M Sheng, J Liu, T Chu… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
The limited energy and computing resources of unmanned aerial vehicles (UAVs) hinder the
application of aerial artificial intelligence. The utilization of split inference in UAVs garners …

Intelligent task off-loading and resource allocation for IOE devices in smart environment

SU Jamil - 2023 - researchoutput.csu.edu.au
Abstract The Internet of Everything (IoE) enables the smart environment to monitor multiple
geographically distributed IoE nodes. There has been an enormous increase in information …